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Home›Jobs›Waymo›ML Engineer, Foundation Model Evaluation
Waymo

About Waymo

Revolutionizing transportation with autonomous driving

🏢 Tech👥 1001+ employees📅 Founded 2009📍 Mountain View, CA💰 $11.1b⭐ 3.7
B2CTransportAutomation

Key Highlights

  • Operates in cities like Phoenix, San Francisco, and LA
  • Completed over 10 million fully driverless rides
  • Raised $11.1 billion in funding
  • Aiming for one million trips per week by 2026

Waymo, a subsidiary of Alphabet Inc., is at the forefront of autonomous driving technology, operating robotaxis in cities like Phoenix, San Francisco, and Los Angeles. With over 10 million fully driverless rides and more than 100 million miles driven, Waymo is transforming transportation. The compan...

🎁 Benefits

Waymo offers comprehensive medical, dental, and vision insurance for employees and their dependents, along with commuter benefits and onsite wellness ...

🌟 Culture

Waymo fosters a culture of innovation and safety, focusing on the real-world application of autonomous technology. The company values diversity and in...

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Waymo

ML Engineer, Foundation Model Evaluation

Waymo • Mountain View, CA, USA; Remote US

Posted 9h ago🏢 HybridMid-LevelMachine learning engineer📍 Mountain view📍 California💰 $170,000 - $216,000 / year
Apply Now →

Skills & Technologies

PythonMachine learningReinforcement learningGenerative aiBayesian inference

Overview

Waymo is seeking a Machine Learning Engineer to develop cutting-edge research in robotics and machine learning for autonomous driving. You'll work with technologies like Python and reinforcement learning to evaluate AI agents. This position requires experience in machine learning methodologies.

Job Description

Who you are

You have a strong background in machine learning and robotics, with experience in developing and evaluating AI systems. Your expertise includes reinforcement learning, generative modeling, and Bayesian inference, enabling you to tackle complex challenges in autonomous driving. You are comfortable collaborating with cross-functional teams and have a passion for advancing state-of-the-art methodologies in AI. You thrive in a research environment and are eager to contribute to innovative solutions that enhance the safety and realism of AI agents. You understand the importance of rigorous evaluation processes and are committed to ensuring the quality of machine learning models.

What you'll do

In this role, you will develop and extend cutting-edge research in robotics and machine learning, focusing on evaluating the quality, safety, and realism of embodied AI agents. You will partner with various teams within Waymo and across Alphabet to land disruptive and innovative solutions. Your work will involve designing experiments, analyzing data, and implementing algorithms that improve the performance of the Waymo Driver. You will also contribute to the development of methodologies that address open problems in autonomous driving, ensuring that the Waymo Driver operates safely in diverse environments. Collaboration with other research teams will be key, as you will share insights and findings that can drive advancements in the field.

What we offer

Waymo provides a hybrid work environment, allowing you to balance in-office collaboration with remote work. You will be part of a mission-driven team focused on making autonomous driving a reality, contributing to a safer future for mobility. The company offers competitive compensation, including a salary range of $170,000 to $216,000 USD, along with participation in an annual bonus program and equity incentive plan. Additionally, you will have access to generous benefits that support your well-being and professional growth.

Interested in this role?

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